| 农田土壤湿度的人工神经网络预报模型研究 |
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| 引用本文： | 金龙,罗莹,缪启龙,申双和.农田土壤湿度的人工神经网络预报模型研究[J].土壤学报,1998,35(1):25-32. |
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| 作者姓名： | 金龙 罗莹 缪启龙 申双和 |
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| 作者单位： | 江苏省气象科学研究所 |
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| 摘 要： | 基于多层误差反传网络结构模型和一维时间序列拓展的方法，发展了一种新的旱季农田土壤湿度预报模式。该模式不公预报准确性高，而且不受中期降水预报准确性的影响。一般只要具备３８６以上的计算机条件即可进行工作，十分便于业务预报推广。
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| 关 键 词： | 旱季 土壤湿度 神经网络 预报模式 |
| 收稿时间： | 1996/2/21 0:00:00 |
| 修稿时间： | 1996/10/12 0:00:00 |
FORECAST MODEL OF FARMLAND SOIL MOISTURE BY ARTIFICIAL NEURAL NETWORK |
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| Jin Long,Luo Ying,Miao Qi-long and Shen Shuang-he.FORECAST MODEL OF FARMLAND SOIL MOISTURE BY ARTIFICIAL NEURAL NETWORK[J].Acta Pedologica Sinica,1998,35(1):25-32. |
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| Authors: | Jin Long Luo Ying Miao Qi-long and Shen Shuang-he |
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| Institution: | Meterological research institute, Jiangsu Province, Nanjing 210008;Institute of Climate Application, Jiangsu Province;Nanjing Institute of Meteorology;Nanjing Institute of Meteorology |
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| Abstract: | A new forecast method of the field soil moisture in dry season is built based on the artificial neural networks of the backlpropagation model. The results showed that the forecast accuracy is high enough as compared with the measured values. In general, this method is suitable for routine forecast of the soil moisture in computator condition of IBM PC/386. This new method can be used to study the rational utilization of the soil moisture resources and to decrease the waste of agrometerogic resources of the light and heat for the dry farming regions and dry season in China. It is likely to be a new approach to use valuable observational data of soil moisture. |
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| Keywords: | Dry season Soil moisture Neural network Forecast model |
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